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Diffusion-Weighted MRI for Predicting Pathologic Complete Response in Neoadjuvant Immunotherapy

SIMPLE SUMMARY: Immunotherapy targets patients’ immune systems to fight cancer. The aim of this retrospective study is to assess tumor response to pre-operative immunotherapy and predict pathologic complete response using MRI at an early treatment time- point. Based on our analysis with a cohort fro...

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Autores principales: Li, Wen, Le, Nu N., Onishi, Natsuko, Newitt, David C., Wilmes, Lisa J., Gibbs, Jessica E., Carmona-Bozo, Julia, Liang, Jiachao, Partridge, Savannah C., Price, Elissa R., Joe, Bonnie N., Kornak, John, Magbanua, Mark Jesus M., Nanda, Rita, LeStage, Barbara, Esserman, Laura J., van’t Veer, Laura J., Hylton, Nola M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9497087/
https://www.ncbi.nlm.nih.gov/pubmed/36139594
http://dx.doi.org/10.3390/cancers14184436
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author Li, Wen
Le, Nu N.
Onishi, Natsuko
Newitt, David C.
Wilmes, Lisa J.
Gibbs, Jessica E.
Carmona-Bozo, Julia
Liang, Jiachao
Partridge, Savannah C.
Price, Elissa R.
Joe, Bonnie N.
Kornak, John
Magbanua, Mark Jesus M.
Nanda, Rita
LeStage, Barbara
Esserman, Laura J.
van’t Veer, Laura J.
Hylton, Nola M.
author_facet Li, Wen
Le, Nu N.
Onishi, Natsuko
Newitt, David C.
Wilmes, Lisa J.
Gibbs, Jessica E.
Carmona-Bozo, Julia
Liang, Jiachao
Partridge, Savannah C.
Price, Elissa R.
Joe, Bonnie N.
Kornak, John
Magbanua, Mark Jesus M.
Nanda, Rita
LeStage, Barbara
Esserman, Laura J.
van’t Veer, Laura J.
Hylton, Nola M.
author_sort Li, Wen
collection PubMed
description SIMPLE SUMMARY: Immunotherapy targets patients’ immune systems to fight cancer. The aim of this retrospective study is to assess tumor response to pre-operative immunotherapy and predict pathologic complete response using MRI at an early treatment time- point. Based on our analysis with a cohort from the multi-center I-SPY 2 clinical trial, we found diffusion-weighted MRI is superior to dynamic contrast-enhanced MRI, where the latter is a standard and most-commonly used MRI modality, in assessing immunotherapy, while no significant difference was observed in the control cohort where only standard chemotherapy was provided. ABSTRACT: This study tested the hypothesis that a change in the apparent diffusion coefficient (ADC) measured in diffusion-weighted MRI (DWI) is an independent imaging marker, and ADC performs better than functional tumor volume (FTV) for assessing treatment response in patients with locally advanced breast cancer receiving neoadjuvant immunotherapy. A total of 249 patients were randomized to standard neoadjuvant chemotherapy with pembrolizumab (pembro) or without pembrolizumab (control). DCE-MRI and DWI, performed prior to and 3 weeks after the start of treatment, were analyzed. Percent changes of tumor ADC metrics (mean, 5th to 95th percentiles of ADC histogram) and FTV were evaluated for the prediction of pathologic complete response (pCR) using a logistic regression model. The area under the ROC curve (AUC) estimated for the percent change in mean ADC was higher in the pembro cohort (0.73, 95% confidence interval [CI]: 0.52 to 0.93) than in the control cohort (0.63, 95% CI: 0.43 to 0.83). In the control cohort, the percent change of the 95th percentile ADC achieved the highest AUC, 0.69 (95% CI: 0.52 to 0.85). In the pembro cohort, the percent change of the 25th percentile ADC achieved the highest AUC, 0.75 (95% CI: 0.55 to 0.95). AUCs estimated for percent change of FTV were 0.61 (95% CI: 0.39 to 0.83) and 0.66 (95% CI: 0.47 to 0.85) for the pembro and control cohorts, respectively. Tumor ADC may perform better than FTV to predict pCR at an early treatment time-point during neoadjuvant immunotherapy.
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spelling pubmed-94970872022-09-23 Diffusion-Weighted MRI for Predicting Pathologic Complete Response in Neoadjuvant Immunotherapy Li, Wen Le, Nu N. Onishi, Natsuko Newitt, David C. Wilmes, Lisa J. Gibbs, Jessica E. Carmona-Bozo, Julia Liang, Jiachao Partridge, Savannah C. Price, Elissa R. Joe, Bonnie N. Kornak, John Magbanua, Mark Jesus M. Nanda, Rita LeStage, Barbara Esserman, Laura J. van’t Veer, Laura J. Hylton, Nola M. Cancers (Basel) Article SIMPLE SUMMARY: Immunotherapy targets patients’ immune systems to fight cancer. The aim of this retrospective study is to assess tumor response to pre-operative immunotherapy and predict pathologic complete response using MRI at an early treatment time- point. Based on our analysis with a cohort from the multi-center I-SPY 2 clinical trial, we found diffusion-weighted MRI is superior to dynamic contrast-enhanced MRI, where the latter is a standard and most-commonly used MRI modality, in assessing immunotherapy, while no significant difference was observed in the control cohort where only standard chemotherapy was provided. ABSTRACT: This study tested the hypothesis that a change in the apparent diffusion coefficient (ADC) measured in diffusion-weighted MRI (DWI) is an independent imaging marker, and ADC performs better than functional tumor volume (FTV) for assessing treatment response in patients with locally advanced breast cancer receiving neoadjuvant immunotherapy. A total of 249 patients were randomized to standard neoadjuvant chemotherapy with pembrolizumab (pembro) or without pembrolizumab (control). DCE-MRI and DWI, performed prior to and 3 weeks after the start of treatment, were analyzed. Percent changes of tumor ADC metrics (mean, 5th to 95th percentiles of ADC histogram) and FTV were evaluated for the prediction of pathologic complete response (pCR) using a logistic regression model. The area under the ROC curve (AUC) estimated for the percent change in mean ADC was higher in the pembro cohort (0.73, 95% confidence interval [CI]: 0.52 to 0.93) than in the control cohort (0.63, 95% CI: 0.43 to 0.83). In the control cohort, the percent change of the 95th percentile ADC achieved the highest AUC, 0.69 (95% CI: 0.52 to 0.85). In the pembro cohort, the percent change of the 25th percentile ADC achieved the highest AUC, 0.75 (95% CI: 0.55 to 0.95). AUCs estimated for percent change of FTV were 0.61 (95% CI: 0.39 to 0.83) and 0.66 (95% CI: 0.47 to 0.85) for the pembro and control cohorts, respectively. Tumor ADC may perform better than FTV to predict pCR at an early treatment time-point during neoadjuvant immunotherapy. MDPI 2022-09-13 /pmc/articles/PMC9497087/ /pubmed/36139594 http://dx.doi.org/10.3390/cancers14184436 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Li, Wen
Le, Nu N.
Onishi, Natsuko
Newitt, David C.
Wilmes, Lisa J.
Gibbs, Jessica E.
Carmona-Bozo, Julia
Liang, Jiachao
Partridge, Savannah C.
Price, Elissa R.
Joe, Bonnie N.
Kornak, John
Magbanua, Mark Jesus M.
Nanda, Rita
LeStage, Barbara
Esserman, Laura J.
van’t Veer, Laura J.
Hylton, Nola M.
Diffusion-Weighted MRI for Predicting Pathologic Complete Response in Neoadjuvant Immunotherapy
title Diffusion-Weighted MRI for Predicting Pathologic Complete Response in Neoadjuvant Immunotherapy
title_full Diffusion-Weighted MRI for Predicting Pathologic Complete Response in Neoadjuvant Immunotherapy
title_fullStr Diffusion-Weighted MRI for Predicting Pathologic Complete Response in Neoadjuvant Immunotherapy
title_full_unstemmed Diffusion-Weighted MRI for Predicting Pathologic Complete Response in Neoadjuvant Immunotherapy
title_short Diffusion-Weighted MRI for Predicting Pathologic Complete Response in Neoadjuvant Immunotherapy
title_sort diffusion-weighted mri for predicting pathologic complete response in neoadjuvant immunotherapy
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9497087/
https://www.ncbi.nlm.nih.gov/pubmed/36139594
http://dx.doi.org/10.3390/cancers14184436
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